216 Computer-Science-"https:"-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich in Switzerland
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-year PhD position is funded by the NCCR CLIM+ program ( NCCR CLIM+ — Climate Extremes and Society ), financed by the Swiss National Science Foundation. NCCR CLIM+ supports Switzerland in
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position is filled. Profile MS degree in Materials Science and Engineering, Polymer Chemistry, Mechanical Engineering, or related fields from a leading university Strong research track record in one or more
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are the MaP Doctoral School and ETH Sabbatical | CAS AMaP continuing education programme. To lead the executive office as the central coordination hub, MaP is currently hiring a new Executive Director
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numbers coincide with increasing workforce constraints. To do so, we are developing the AI for Science Instrumentation Gym, which is designed to bridge this gap by placing data-driven hypothesis generation
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see this website for more information on the doctoral programme in our Department of Environmental Systems Sciences (USYS). This project specifically offers outstanding opportunities for collaborations
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that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and
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ecology, forest management, remote sensing, decision support, risk analysis, economics, and stakeholder-oriented approaches. We are strongly involved in teaching within the Department of Environmental
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interest in data-intensive systems. You bring a solid foundation in software or data engineering, typically developed through a Master’s degree or higher (e.g. PhD) in Computer Science or a related field, or
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foster interdisciplinary AI research and pave the way from science to society. The Associate to the Directors will work directly with the Executive Director and Co-Director of the ETH AI Center supporting
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well-being. DEPOPLAND is highly interdisciplinary, bringing together expertise from landscape ecology, physical and human geography, land system science, and computational linguistics. The project is